{"id":90202,"date":"2025-03-03T14:49:39","date_gmt":"2025-03-03T06:49:39","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=90202"},"modified":"2025-03-03T15:16:28","modified_gmt":"2025-03-03T07:16:28","slug":"pcb-assembly-verification-using-ai","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/pcb-assembly-verification-using-ai\/","title":{"rendered":"V\u00e9rification de l’assemblage de circuits imprim\u00e9s \u00e0 l’aide de l’IA"},"content":{"rendered":"
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META-aivi\u00c9tude de cas<\/span><\/h2>\n\n\n\n
\u00c9lectronique<\/a><\/div>\n<\/div><\/div>\n\n\n\n
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V\u00e9rification de l’assemblage de circuits imprim\u00e9s \u00e0 l’aide de l’IA<\/h1><\/div><\/div>\n\n\n\n
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Client<\/h2>\n\n\n\n

Le client est un fabricant leader d’IPC, sp\u00e9cialis\u00e9 dans les solutions informatiques industrielles, notamment les produits bas\u00e9s sur l’architecture x86 et RISC tels que les cartes m\u00e8res, les syst\u00e8mes informatiques, les PC \u00e0 panneau, les ordinateurs sur modules et les appareils compatibles IoT.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Cas<\/h2>\n\n\n\n
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Rationalisation de l’assemblage de circuits imprim\u00e9s<\/h3>\n\n\n\n

Dans la fabrication de composants \u00e9lectroniques, la pr\u00e9cision est cruciale, notamment lors de l’assemblage de circuits imprim\u00e9s (PCB) avec plusieurs connecteurs. Pour maintenir la pr\u00e9cision, les ouvriers de la cha\u00eene de montage re\u00e7oivent une formation via des vid\u00e9os p\u00e9dagogiques. Par la suite, les PCB assembl\u00e9s sont soumis \u00e0 une inspection manuelle pour v\u00e9rifier le bon assemblage.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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\"close-up<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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D\u00e9fi<\/h2>\n\n\n\n
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Limites de la formation vid\u00e9o et de l’inspection manuelle<\/h3>\n\n\n\n

Le recours aux vid\u00e9os de formation suivies d’inspections manuelles pose des d\u00e9fis en mati\u00e8re d’efficacit\u00e9 et d’assurance qualit\u00e9. La petite taille des connecteurs augmente le risque d’erreurs lors de l’assemblage, ce qui peut entra\u00eener des d\u00e9salignements ou des connexions incorrectes. De plus, l’inspection manuelle consomme beaucoup de temps et de ressources. Par cons\u00e9quent, le processus actuel peine \u00e0 d\u00e9tecter efficacement les erreurs d’assemblage, ce qui contribue \u00e0 un taux d’\u00e9chec notable de 3 %.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Solution<\/h2>\n\n\n\n
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Guidage en temps r\u00e9el pour un assemblage de circuits imprim\u00e9s am\u00e9lior\u00e9<\/h3>\n\n\n\n

META-aivi<\/a>, le syst\u00e8me de vision AR + AI de Solomon, offre une solution compl\u00e8te aux d\u00e9fis rencontr\u00e9s lors de l’assemblage de circuits imprim\u00e9s. \u00c0 l’aide d’une tablette mont\u00e9e sur le syst\u00e8me, META-aivi fournit des conseils en temps r\u00e9el aux ouvriers de la cha\u00eene de montage, garantissant que chaque \u00e9tape est ex\u00e9cut\u00e9e correctement conform\u00e9ment aux proc\u00e9dures op\u00e9rationnelles standard. Le syst\u00e8me valide chaque \u00e9tape en temps r\u00e9el, affichant \u00ab OK \u00bb ou \u00ab NG \u00bb (pas bon) sur l’\u00e9cran de l’appareil pour un retour d’information imm\u00e9diat. Cette int\u00e9gration de la technologie AR + AI am\u00e9liore consid\u00e9rablement l’efficacit\u00e9 et la pr\u00e9cision du processus d’assemblage tout en r\u00e9duisant le recours \u00e0 l’inspection manuelle. META-aivi peut \u00e9galement \u00eatre utilis\u00e9 pour l’inspection des composants PCB<\/a>.<\/p>\n\n\n\n

<\/div>\n\n\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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R\u00e9sultat<\/h2>\n\n\n\n
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<\/path><\/svg>Pr\u00e9cision d’assemblage accrue<\/span><\/div>
<\/path><\/svg>R\u00e9duction du taux d’\u00e9chec des inspections<\/span><\/div>
<\/path><\/svg>Am\u00e9lioration de l’efficacit\u00e9 des inspections<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

META-aivi optimise l’assemblage et l’inspection des PCB pour un fabricant leader d’IPC, am\u00e9liorant la pr\u00e9cision et l’efficacit\u00e9 gr\u00e2ce \u00e0 la v\u00e9rification AR + AI.<\/p>","protected":false},"author":36,"featured_media":106147,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-5f6009ef-2b72{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:50px}#gspb_heading-id-gsbp-5f6009ef-2b72 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-5f6009ef-2b72 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-5f6009ef-2b72{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, #ffffff)}.gspb_text-id-gsbp-fa6ec577-bc74{font-size:20px;text-align:center!important;font-weight:500!important;margin-bottom:0!important}.gspb_text-id-gsbp-fa6ec577-bc74 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